Active power estimation of photovoltaic generators for distribution network planning based on correlation models

Miquel Ramon-Marin, Andreas Sumper, Roberto Villafafila-Robles and Joan Bergas-Jane

Energy, 2014, vol. 64, issue C, 758-770

Abstract: For the last years, PV (photovoltaic) generation has been having an important impact on LV (low voltage) and MV (medium voltage) grids in Spain, due to the increasing number of installations. As power monitoring of the generation is in most cases not required, utilities are forced to make assumptions on PV power generation in order to perform network planning studies for both peak demand and contingency analysis. These assumptions increase errors committed during the analysis, as the number of PV installations increases. This paper presents a methodology for estimating PV active power generation values for planning purposes in MV and LV power systems, from historic generation data, based on the development of correlation models. This methodology is applied to three different examples, using predictors based on real registered data. The methodology was also applied in a typical grid study and it's error was determined.

Keywords: Correlation decomposition models; Photovoltaic generators; Power systems; Distribution network planning (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:64:y:2014:i:c:p:758-770

DOI: 10.1016/j.energy.2013.11.043

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